What we do
Review the current process, users, sources, systems, constraints, and examples of useful or unacceptable results.
Understand. Design. Build. Support.
Our approach to AI projects
A promising demonstration becomes useful when it fits the people, information, and systems that will depend on it. Our approach connects the original business need with the decisions required to build and operate a practical solution.
Explore the process
UNDERSTAND. DESIGN. BUILD. SUPPORT.SHARED DECISIONS. REVIEWABLE PROGRESS.
Turn the need into a workable plan. Make each decision clear.
We work through four stages with reviewable outputs. The depth of each stage depends on the engagement: a survey analysis and a connected AI agent need different methods. The common thread is a defined task, visible evidence, and a responsible person at each important decision.
- Shared scopeAgree the task, boundaries, dependencies, and intended result.
- Useful reviewsInspect real outputs against agreed examples and acceptance criteria.
- Clear ownershipKnow who approves, operates, updates, and escalates the work.
OUR DELIVERY PROCESS
Understand
Define the work and the reason to change it.
What your team brings
A process owner, representative examples, available information, and the decision or outcome that matters.
What you receive
An agreed problem statement, initial scope, dependencies, and open questions to resolve.
Before moving forwardBoth teams can explain the intended task, exclusions, reviewers, and what success would look like.
OUR DELIVERY PROCESS
Design
Choose a workable experience and review plan.
What we do
Map the proposed workflow, assess actual interfaces, and define information access, human approvals, evaluation examples, and failure behavior.
What your team brings
Subject expertise, access decisions, preferred operating tools, and feedback on the proposed design.
What you receive
A solution outline, responsibilities, deliverables, acceptance criteria, and a scoped implementation proposal.
Before moving forwardThe scope and design are approved, with dependencies and unresolved assumptions recorded before implementation.
OUR DELIVERY PROCESS
Build
Implement the scope and inspect real outputs.
What we do
Develop the agreed application or workflow, connect permitted sources and systems, and evaluate representative tasks and exceptions.
What your team brings
Agreed access, review feedback, and people who can assess subject accuracy and operational usefulness.
What you receive
A working implementation, review results, documented limitations, and corrections against agreed acceptance criteria.
Before moving forwardReviewers assess the agreed scenarios and resolve or explicitly accept remaining issues before the next release decision.
OUR DELIVERY PROCESS
Support
Prepare the people who will operate the work.
What we do
Hand over operating guidance, confirm ownership and escalation, and agree maintenance or further development where included.
What your team brings
An operating owner, deployment approvals, and a contact for future content, access, or process changes.
What you receive
The agreed handover materials, operating responsibilities, known limitations, and support arrangements.
Before moving forwardThe receiving team understands how to run, review, and escalate the workflow and what support has been commissioned.
Understand. Design. Build. Support.
Make the important decisions reviewable
Select tools for the task
Use model-assisted work where interpretation or language helps, and fixed logic where a rule is sufficient. Assess source quality, integration access, provider costs, and operating constraints together.
Evaluate more than a good example
Review normal requests, incomplete inputs, unsupported questions, and failed connections. Agree who judges the output and which cases must pause, retry, or move to a person.
Treat change as an operating responsibility
Content, applications, and business rules change after delivery. Identify who maintains each dependency and when a change should trigger a new evaluation or an approved scope adjustment.
ILLUSTRATIVE PROJECT
Illustrative example: a course support assistant
A training provider could begin with one course and a set of learner questions. Design would identify approved lessons, educator review, and a handoff for account issues. Build review would include answerable and unsupported questions. Handover would assign course-update ownership and explain how unresolved questions reach staff. This describes a possible engagement, rather than a completed client project.
BEFORE WE WORK TOGETHER
Clear answers before you commit.
Is White Storm the right partner for our project?
White Storm helps with AI learning tools, market research, survey analysis, and connected business automation. Share your users, current workflow, and desired result so we can assess the fit, dependencies, and a useful first scope. A walkthrough of your task or a bounded pilot can help your team evaluate the proposed approach before a larger commitment.
How will you price the project, and what ongoing costs should we expect?
We estimate the work after reviewing the scope, integrations, available information, and review requirements. The proposal should separate project fees from recurring hosting, model or API usage, platform licences, and optional support. Confirm the commercial model, payment milestones, exclusions, and who pays each ongoing provider before approving the engagement.
Can we start with a pilot before committing to a larger build?
Yes. A pilot can focus on one course, research question, dataset, or business workflow. We agree the inputs, deliverables, evaluation cases, and decision the pilot should support. Review its findings and remaining dependencies before deciding whether to expand. The pilot has its own agreed scope and commercial terms.
How do you agree the timeline and keep us updated?
We agree a plan with milestones once the scope and required inputs are clear. System access, content readiness, integration complexity, and reviewer availability affect the schedule. The plan should name a project contact, an update cadence, review points, and a way to raise delays or decisions, with responsibilities clear for both teams.
How will we know the work is ready to accept?
We agree acceptance criteria and representative review cases before implementation. Your reviewers assess the actual outputs, including incomplete inputs and failure scenarios. Research and analysis need traceable evidence and stated limitations; software needs agreed behavior, integrations, and handoffs. Final review records what meets the scope, any corrections, and any remaining issues that require an explicit decision.
How do you handle incorrect AI answers or failed automation?
The design defines permitted sources and actions, human approval points, and how unsupported requests or failed steps reach a responsible person. We test normal and failure cases and document observed limitations. Monitoring, retries, recovery procedures, and incident ownership need an agreed scope before live use. AI output quality must be evaluated for your actual task.
What happens to our data, and what access will you need?
We agree the permitted data, approved providers, hosting requirements, access permissions, and handling responsibilities before implementation. This review should cover provider retention or training use, deletion, and any confidentiality requirements. Early scoping can use approved documents and representative test cases. Keep passwords and sensitive records out of the initial inquiry.
Who owns the work, and what will we receive at handover?
Rights to custom work, delivery of source code, and account ownership are set out in the project agreement. Confirm what you receive at handover: repositories or files, configurations, documentation, deployment access, and credentials through an agreed secure process. Third-party software, models, and platforms may have separate licences and ongoing fees.
Can you work with our existing tools and systems?
We assess the actual LMS, CRM, helpdesk, data sources, and other tools involved in your workflow. Feasibility depends on supported APIs, subscriptions, permissions, provider limits, and the quality of available information. The proposed scope identifies supported connections, access needed for testing, and any gaps or alternatives that need your approval.
What happens if our requirements change after work begins?
We review the request against the agreed scope and acceptance criteria, then explain its impact on deliverables, fees, dates, and dependencies. Record whether the request corrects agreed behavior or adds new scope. Confirm the revised plan and commercial terms before additional work begins, so both teams understand the commitment.
What support is available after launch?
The proposal should identify handover, any training, deployment responsibilities, and the support coverage included in the engagement. Where ongoing support is agreed, define the coverage period, response expectations, monitoring ownership, provider updates, and fees. Named owners and operating documentation help your team understand how to maintain the solution and request further development.
What do you need from us to prepare a useful proposal?
Start with the problem, intended users, an example of the current work, and the result you want. Describe the systems and information available, who can review the outputs, and any timing, budget, or deployment constraints. A brief description is enough for an initial inquiry; agree an appropriate sharing process before sending confidential project material.
LET'S START WITH YOUR GOAL
Bring a real task to the conversation
A current example and a description of a useful result give us a practical place to begin.